1. Introduction to Machine Learning Kamal Aboul-Hosn Cornell University Chess, Chinese Rooms, and Learning

2. Computers play well, but not overwhelmingly Even a computer cannot remember all the possible chess games 10 80 40 -move chess games! Would take 40 billion years to make one move Chess

3. Garry Kasparov - World chess champion Deep Blue - Supercomputer designed by IBM 256 special processors Analyzed 200,000,000 boards per second Deep Blue beat Garry Kasparov in 1997 Kasparov vs. Deep Blue

4. 2003 match - Kasparov and Deep Junior Deep Junior Runs on a network of desktop PCs Only sees 3 million moves per second Plays “smart chess” like people Match ended in tie The Present

5. The Future “I think for a while, we'll be having this sort of lead in these matches. But eventually, I believe one day, we'll be reduced to fighting for one single win [against a computer]. In my view, in 10 years' time, the best human player could beat a machine one single game on our best day.” --Garry Kasparov, to CNN

6. Does not understand chess Just looked at a bunch of boards and chose -- programmed by people Can’t do anything but play chess Was Deep Blue Thinking? NO!

7. Understands as well as humans do Acted like a person -- used memory to chose best move...the computer just has a better memory Does “thinking” have to mean “thinking like a human?” Was Deep Blue Thinking? YES!

8. Strong AI Many definitions: Designing computer programs that reason and solve problems in human- like or non-human-like ways Weizenbaum: "nothing less than to build a machine on the model of man, a robot that is to have its childhood, to learn language as a child does, to gain its knowledge of the world by sensing the world through its own organs, and ultimately to contemplate the whole domain of human thought"

9. Chinese Room Argument Developed by John R. Searle in 1980 A person is in a room with a giant rule book Through one slot come in Chinese symbols Constructs new symbols from input and rules Sends output through another slot

10. Chinese Room Argument Person does not actually understand Chinese One sitting outside the room thinks the person knows Chinese A computer is such a system and therefore cannot “think” “Close study, I believe, reveals the Chinese room to be so logically and scientifically flawed that one of the principle questions [is,] How have so many been snowed so much by so little?” Larry Steven Hauser

11. Claims vs. Reality A computer may claim to be conscious, may perform tasks as well as humans, and may convince humans that it is conscious Are these enough to make it conscious?

12. Definition of Life A living organism must: Use energy Respond to its surroundings Reproduce Grow & develop Can a computer do these things?

13. Basic idea: Better decisions yield better rewards When a computer makes a decision, tell it how well it did Situation may inherently gives feedback In complex environments, may be only way computer learns to perform well Reinforcement Learning

14. How do you teach a dog to sit? At the start a dog has no information Pointing and saying “sit” has no inherent meaning to the dog Learns to do what you want via treats when action is correct/scolding when does something wrong Consider Training a Dog

15. Neural Networks Base learning and processing on the brain First created by Warren McCulloch and Walter Pits in 1943 Advantages Learns based on any set of input Massively parallel Systems exist in many languages

16. What’s a Neural Network? A collection of computational units, each w/ weight “how important is this unit?” activation function & threshold - when does the “neuron” fire? inputs f()

17. Multi-Layer Network Inputs Output units 1 or more hidden layers No cycles

18. Examples http://www.bkgm.com/motif/go.html http://www.geocities.com/chen_levkovich/t ictactoe.html